How Can We Configure ATS Platforms to Better Identify and Support Diverse Tech Talent?

Enhance ATS inclusivity by using unbiased language, blind screening, diverse sourcing, skills-based assessments, accessibility features, and customizable profiles. Track diversity metrics, train recruiters on inclusion, and gather feedback to ensure equitable, barrier-free tech hiring.

Enhance ATS inclusivity by using unbiased language, blind screening, diverse sourcing, skills-based assessments, accessibility features, and customizable profiles. Track diversity metrics, train recruiters on inclusion, and gather feedback to ensure equitable, barrier-free tech hiring.

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Implement Inclusive Keyword Algorithms

Modify parsing algorithms to recognize unconventional backgrounds and transferable skills, not just traditional qualifications or specific role titles. Enable recognition of bootcamp graduates, self-taught developers, and experience gained through open source or community projects to widen the net for diverse talent.

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Standardize and Remove Bias from Job Descriptions

Integrate tools that flag non-inclusive language or unnecessary requirements in job postings. ATS systems should guide recruiters to use gender-neutral wording, avoid jargon, and list only the truly essential qualifications, reducing barriers for underrepresented groups.

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Leverage Blind Screening Features

Configure the ATS to anonymize applications by removing names, photos, and other bias-triggering information in candidate profiles. This allows recruiters to focus on skills and experience, helping mitigate unconscious bias during initial screening.

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Integrate Diversity Metrics and Analytics

Enable reporting features that track diversity-related data at each recruitment stage. These analytics should help identify bottlenecks or biases, so strategies can be adjusted for more equitable outcomes and transparent progress monitoring.

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Broaden Sourcing Channels Within the ATS

Expand and integrate sourcing options so the ATS can pull from a diverse range of job boards, coding bootcamps, affinity groups, and professional networks, rather than relying solely on traditional platforms. This pipeline broadening attracts candidates from varied backgrounds.

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Offer Skills-Based and Practical Assessments

Incorporate coding challenges, project tasks, or portfolio uploads directly into the ATS workflow. Allow candidates to demonstrate ability through practical work rather than relying solely on education or previous employment, facilitating fairer assessment across diverse applicant pools.

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Provide Accessibility Features

Customize the ATS to support candidates with disabilities by ensuring usability with screen readers, offering alt-text for images, and allowing for alternative methods of application (such as video or audio submissions). This inclusivity supports neurodiverse and disabled tech talent.

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Enable Customizable Candidate Profiles

Allow applicants to emphasize a range of experiences—such as community work, hackathons, or freelance gigs—by offering custom fields and prompts within profiles. Encouraging nontraditional narratives helps showcase diverse skill acquisition paths.

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Train Recruiters on Inclusive ATS Usage

Supplement configuration with recruiter training modules embedded in the ATS, guiding users on interpreting nontraditional profiles and encouraging inclusive evaluation mindsets, ensuring technology is matched by human understanding.

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Integrate Feedback Loops for Continuous Improvement

Implement candidate feedback tools within the ATS, enabling applicants from all backgrounds to report challenges or barriers encountered in the application process. Use this data for ongoing platform refinement and advocacy for underrepresented tech talent.

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What else to take into account

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